Research on multi-feature front vehicle detection algorithm based on video image

In order to meet the requirements of real time and effectiveness, a multi-feature front vehicle detection algorithm based on video image is proposed. Firstly, the proposed algorithm uses the edge detector algorithm based on wavelet transform to obtain the road mark for reducing the detection region. Secondly, the threshold segmentation algorithm based on weight factor is used for image segmentation. Thirdly, image processing technologies are used to improve the quality of the segmented image. Lastly, vehicle shadow characteristics, vertical edge characteristics, texture characteristics and symmetry characteristics are used to find out the real region of interest. Simulation demonstrates that the proposed algorithm has low mistake rate and miss rate, high detect rate and strong real-time.